Data Science Tutorials

Unleashing the Power of Docker and Kubernetes for Machine Learning Success

Discover how to get ChatGPT to give you the outputs you want by giving it the inputs it needs.

Learn how to use Stable Diffusion, an advanced open-source deep learning model that generates high-quality images from text descriptions. This tutorial covers the basics of how the model works and step-by-step instructions for running Stable Diffusion online and locally.

Boost your data analysis skills with our step-by-step guide on how to analyze, manipulate and write back data in Google Sheets using Python.

Discover the main differences between Python’s pandas and polars libraries for data science

Discover what Git Rebase is and how to use it in your data science workflows.

Make your data stand out with stunning maps created with Plotly in Python

Learn how DataCamp Workspace optimizes the experience of working with Jupyter notebooks and SQL. Discover how to effortlessly write SQL queries, connect to databases, analyze CSV files, and leverage the power of AI assistance

Unleash the power of SQL within pandas and learn when and how to use SQL queries in pandas using the pandasql library for seamless integration.

Unleash the full potential of GPT-3 through fine-tuning. Learn how to use the OpenAI API and Python to improve this advanced neural network model for your specific use case.

Dive into Explainable AI (XAI) and learn how to build trust in AI systems with LIME and SHAP for model interpretability. Understand the importance of transparency and fairness in AI-driven decisions.

Explore how AI agents Auto-GPT, AgentGPT & BabyAGI are revolutionizing autonomous AI systems. Learn about their applications, limitations & more.